Triple

T31442549
Position Surface form Disambiguated ID Type / Status
Subject Grafenwöhr E802107 entity
Predicate hasFeature P182 FINISHED
Object U.S. Army Garrison Bavaria – Grafenwoehr
U.S. Army Garrison Bavaria – Grafenwoehr is a major United States Army installation in Bavaria, Germany, known primarily for its extensive training areas and support facilities for U.S. and NATO forces.
E1962693 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: U.S. Army Garrison Bavaria – Grafenwoehr | Statement: [Grafenwöhr, hasFeature, U.S. Army Garrison Bavaria – Grafenwoehr]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: U.S. Army Garrison Bavaria – Grafenwoehr
Triple: [Grafenwöhr, hasFeature, U.S. Army Garrison Bavaria – Grafenwoehr]
Generated description
U.S. Army Garrison Bavaria – Grafenwoehr is a major United States Army installation in Bavaria, Germany, known primarily for its extensive training areas and support facilities for U.S. and NATO forces.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f348c5a6bc819092a557e95438976f completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a0f30eb48190a88cad0185fdf5dc completed May 3, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b0780d03081909f9087b7c7c9bc2c completed June 11, 2026, 7:07 p.m.
NEDg Description generation batch_6a2b08fba3f481909347926ab537558b completed June 11, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_6a2b09e8b4e48190952331ad0a9757dc completed June 11, 2026, 7:18 p.m.
Created at: April 30, 2026, 9:06 p.m.